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Data Engineer jobs in Singapore

Senior Data Engineer (GCP + AWS)

PALO IT

Singapore
On-site
SGD 60,000 - 80,000
30+ days ago
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Data Engineer

PALO IT

Singapore
On-site
SGD 60,000 - 80,000
30+ days ago

Data Engineer - (Public Sector)

Xtremax

Singapore
On-site
SGD 60,000 - 90,000
30+ days ago

Snowflake Senior Data Engineer

Partners Group

Singapore
On-site
SGD 90,000 - 120,000
30+ days ago

Data Engineer

Bitdeer Technologies Group

Singapore
On-site
SGD 70,000 - 100,000
30+ days ago
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Data Engineer (Government Project)

SCIENTEC CONSULTING PTE. LTD.

Singapore
On-site
SGD 70,000 - 90,000
30+ days ago

Senior Data Engineer

KPMG Singapore

Singapore
On-site
SGD 80,000 - 120,000
30+ days ago

Analytics Engineer- Data Operations & Governance

Crypto.com

Singapore
On-site
SGD 60,000 - 90,000
30+ days ago
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Sr. Manager Data Engineer

Visa

Singapore
Hybrid
SGD 120,000 - 160,000
30+ days ago

Data Engineer (GIC)

Avepoint

Singapore
On-site
SGD 60,000 - 80,000
30+ days ago

Senior Data Analyst (Gaming)

Morgan McKinley

Singapore
On-site
SGD 80,000 - 100,000
3 days ago
Be an early applicant

Senior Data Analyst

Digitas

Singapore
On-site
SGD 70,000 - 90,000
3 days ago
Be an early applicant

Senior Data Scientist (Analytics)

Data Analytics

Singapore
On-site
SGD 100,000 - 125,000
3 days ago
Be an early applicant

AI Data Analyst

ECO FIXFOX PTE. LTD.

Singapore
On-site
SGD 50,000 - 70,000
3 days ago
Be an early applicant

Senior Data Scientist

Kpler

Singapore
On-site
SGD 90,000 - 120,000
3 days ago
Be an early applicant

IT Analyst (Process Automation)

Gain City Group

Singapore
On-site
SGD 60,000 - 80,000
3 days ago
Be an early applicant

Data Scientist

Razer

Singapore
On-site
SGD 70,000 - 100,000
3 days ago
Be an early applicant

Data Analyst

Metacomp

Singapore
On-site
SGD 60,000 - 80,000
3 days ago
Be an early applicant

Data Analyst (Telco / Banking / Fintech)

Randstad

Singapore
On-site
SGD 80,000 - 100,000
3 days ago
Be an early applicant

Senior Data Analyst

YIPIT PTE. LIMITED

Singapore
On-site
SGD 60,000 - 80,000
3 days ago
Be an early applicant

AI Consultant

NTT

Singapore
On-site
SGD 120,000 - 160,000
3 days ago
Be an early applicant

Senior Data Analyst - Gaming (Contract)

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD

Singapore
On-site
SGD 80,000 - 100,000
3 days ago
Be an early applicant

DATA SCIENTIST

NETWORK EXPRESS COURIER SERVICES PTE LTD

Singapore
On-site
SGD 40,000 - 60,000
3 days ago
Be an early applicant

Data Analyst

KPay Group

Singapore
On-site
SGD 60,000 - 85,000
3 days ago
Be an early applicant

Data Scientist - AI/ML | Permanent

Zenith Infotech

Singapore
On-site
SGD 100,000 - 125,000
3 days ago
Be an early applicant

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Senior Data Engineer (GCP + AWS)
PALO IT
Singapore
On-site
SGD 60,000 - 80,000
Full time
30+ days ago

Job summary

A global technology consultancy is seeking a Senior Data Engineer to design and implement cloud-native data pipelines. Ideal candidates will have strong expertise in AWS and GCP, with at least 7 years of experience in data engineering. Key responsibilities include building scalable ETL/ELT pipelines, migrating workloads to the cloud, and partnering with Data Scientists to enable advanced analytics use cases. This position offers a dynamic work environment in Singapore.

Qualifications

  • 7+ years in data engineering with end-to-end pipeline design and implementation.
  • Strong expertise in AWS technologies such as S3, Glue, Lambda, etc.
  • Strong expertise in GCP technologies such as BigQuery, Dataflow, etc.

Responsibilities

  • Design and implement scalable ETL/ELT pipelines on AWS and GCP.
  • Migrate existing on-premises workflows to cloud-native services.
  • Build reusable data frameworks for ingestion and quality monitoring.

Skills

Data engineering expertise
AWS proficiency
GCP proficiency
Python programming
SQL development
Orchestration tools (Airflow, Cloud Composer)
Shell scripting

Tools

AWS tools
GCP tools
Airflow
Docker
Kubernetes
Job description
Overview

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We are proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities); robust and resilient (100% independent and 0 debt); entrepreneurs and passionate experts; positive, courageous, caring, doers and committed to excellence.

Role

The projects involve building and scaling cloud-native data pipelines to handle ingestion, transformation, quality assurance, enrichment, and advanced analytics use cases across multiple industries. We are seeking a Senior Data Engineer to modernize and enhance data platforms, with strong expertise in AWS and GCP.

Responsibilities
  • Design and implement scalable ETL/ELT pipelines on AWS and GCP.
  • Migrate existing on-premises and hybrid workloads into cloud-native services.
  • Build reusable data frameworks for ingestion, quality monitoring, and transformations.
  • Implement robust error handling, recovery mechanisms, and observability into pipelines.
  • Partner with Data Scientists and Architects to enable predictive/GenAI use cases.
Must Have Experience
  • 7+ years in data engineering with end-to-end pipeline design and implementation.
  • AWS expertise: S3, Glue, Lambda, Step Functions, EMR, Athena, Fargate, AWS Batch.
  • GCP expertise: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Functions.
  • Strong Python and SQL development skills.
  • Proficiency with orchestration tools like Airflow or Cloud Composer.
  • Shell scripting (Linux).
  • Familiarity with data formats (Parquet, ORC, JSON, Avro) and modern storage patterns.
Good to Have
  • Experience integrating AWS GCP cross-cloud pipelines.
  • Knowledge of containerization (Docker, Kubernetes, GKE/EKS).
  • Domain knowledge in Financial Services, Healthcare, Maritime, or Retail.
Equal Opportunity

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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